AI Data Engineer
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Job Description
Teamified seeks AI Data Engineer to design and implement AI solutions for products. Work closely with engineers and integrate AI into the Teamified Platform.
Responsibilities:
- Design and develop our Teamified AI data architecture & API using Python (Django Framework) and other relevant python libraries
- Manage our RDBMs [SQL], NoSQL [MongoDb] and Vector [Pinecone] databases and conduct proper data governance & research
- Collaborate with our leadership, product experts and software architect to integrate AI solutions into our Teamified Platform
- Optimize AI augmentation models, context builders and prompt builders for performance, scalability, and efficiency.
- Conduct research and stay up-to-date on the latest advancements in AI and data engineering.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in AI data engineering.
- 2+ years of experience using Replit
- Proficiency in Python and Django Framework and other relevant tools and technologies.
- Good-to-have skills: RAG Orchestration Pipelines, LangChain, Vector Databases, PineCone,
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Benefits:
- Flexibility in work hours and location, with a focus on managing energy rather than time.
- Access to online learning platforms and a budget for professional development
- A collaborative, no-silos environment, encouraging learning and growth across teams
- A dynamic social culture with team lunches, social events, and opportunities for creative input
- Health insurance
- Leave Benefits
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